Presentation from the Data Products meetup took place in November 2018: Autoencoders - how we teach machines to understand fashion @Outfittery, by Conor Digan.

1. Data Products
Meetup @Outfittery
14/11/2018
by Fariz Bashirov

2. Quantifying Fashion
Autoencoders - how we teach machines to understand fashion @Outfittery
Conor Digan, Senior Data Scientist
14/11/2018

3. Recommender Systems at Outfittery

4. 4
Human & Artificial Intelligence

5. 5
Cold-Start problem on steriods

6. 6
Does this fit your style?
In a regular fit, this premium cotton shirt features an
all-over printed pattern and a classic button-down collar.
● Regular fit
● Button-down collar
● All-over printed pattern
● 100% cotton

7. 7
Does this fit your style?
In a regular fit, this premium cotton shirt features an
all-over printed pattern and a classic button-down collar.
● Regular fit
● Button-down collar
● All-over printed pattern
● 100% cotton

8. 8
input vector network output vector
1,2,3,...

9. 9
Autoencoders

10. 10
input vector embedding output vectorencoder decoder

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input vector embedding output vectorencoder decoder

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input vector embedding output vectorencoder classifier
(0.1, 0.05, 0.7, ... )

13. 13
Autoencoders - Different Flavors

14. 14
noisy input embedding output vectorencoder decoder
+

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Image from: https://towardsdatascience.com/intuitively-understanding-variational-autoencoders-1bfe67eb5daf

16. 16
input vector multivariate gaussian z output vectorencoder decoder
sample

17. 17
Loss Function
Reconstruction Error Kullback-Leibler divergence

18. 18
Image from: https://towardsdatascience.com/intuitively-understanding-variational-autoencoders-1bfe67eb5daf

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Image from: https://towardsdatascience.com/intuitively-understanding-variational-autoencoders-1bfe67eb5daf
New Combinations of training data Specific Attribute Vectors
Now what can we do?

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Autoencoders at Outfittery

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Use Case I - Attribute generation
Category Colour Material ...
Shirt ??? Cotton ...

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Use Case I - Attribute generation
Category Colour Material ...
Shirt ??? Cotton ...
(0.08, 0.43, …… )

23. 23
Use Case I - Attribute generation
Category Colour Material ...
Shirt ??? Cotton ...
(0.08, 0.43, …… )
(0.03, 0.64, …… )

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Use Case I - Attribute generation
Category Colour Material ...
Shirt ??? Cotton ...
(0.01, 0.82, …… )
(0.08, 0.43, …… )
(0.03, 0.64, …… )
(Shirt, Cotton, ….)

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Use Case I - Attribute generation
Category Colour Material ...
Shirt Blue Cotton ...
(0.01, 0.82, …… )
(0.08, 0.43, …… )
(0.03, 0.64, …… )
(Shirt, Cotton, ….)

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Use Case II - Item similarity service

27. 27
Use Case III - Wardrobe completer

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Is this the beginning of the future?

29. Thanks.
Conor Digan
Senior Data Scientist
conor.digan@outfittery.de
26/09/2018